FEATURED COMPANIES

“AI in agriculture market anticipated to grow at a CAGR of 22.5% from 2017 to 2025”

The AI in agriculture market is estimated to be worth USD 2,628.5 million by 2025 from USD 518.7 million in 2017, growing at a CAGR of 22.5% between 2017 and 2025. The major factors driving the growth of the AI in agriculture market include the growing demand for agricultural production owing to the increasing population, rising adoption of information management systems and new, advanced technologies for improving crop productivity, increasing crop productivity by implementing deep learning techniques, and growing initiatives by worldwide governments supporting the adoption of modern agricultural techniques. The high cost of gathering precise field data is a major factor restraining the growth of the AI in agriculture market.

“AI in agriculture market for computer vision technology estimated to grow at the highest CAGR during the forecast period”

The market for computer vision is expected to grow at the highest CAGR during the forecast period. The increasing use of computer vision technology for agriculture applications, such as plant image recognition, and the rising demand for continuous monitoring and analyzing crop health are the major factors contributing to the growth of the market for AI solutions based on computer vision technology.

“Market for drone analytics applications expected to grow at the highest CAGR during the forecast period”

The market for drone analytics is expected to grow at the highest CAGR during the forecast period owing to its extensive use in diagnosing and mapping crop health and making real-time decisions. Further, favorable government mandates for using drones in agriculture field is expected to fuel the growth of the AI in agriculture market for the drone analytics application.

“AI in agriculture market in Asia Pacific expected to grow at the highest CAGR during the forecast period”

The increasing adoption of deep learning and computer vision technologies for agricultural applications is a major driving factor for the market growth in the APAC region. Further, the increasing awareness among growers regarding benefits associated with artificial intelligence technologies, such as computer vision, machine learning, and deep learning, for various farming applications is also a major factor contributing toward the growth of the AI in agriculture market in this region.

The breakup of primaries conducted during the study is depicted below:

This report covers the AI in agriculture market based on offering, technology, application, and region. The AI in agriculture market based on offering has been segmented into hardware, software, AI-as-a-Service, and Service. Based on applications, the AI in agriculture market has been segmented into precision farming, livestock monitoring, drone analytics, agriculture robots, and others. On the basis technology, the AI in agriculture market has been classified into machine learning, computer vision, and predictive analytics. On the basis of region, the market has been segmented into the Americas, Europe, Asia Pacific (APAC), and RoW.

Key Benefits of Buying the Report:

This report includes the market statistics pertaining to offering, application, technology, and region, along with their respective market sizes.

In-depth analysis of the value chain has been done to provide an in-depth insight into the AI in agriculture market.

Major drivers, restraints, challenges, and opportunities pertaining to the AI in agriculture market have been detailed in this report.

Illustrative segmentation, analysis, and forecast for the markets on the basis of offering, application, technology, and region have been conducted to provide an overall view of the AI in agriculture market.

The report includes a detailed competitive leadership mapping, including key players and their in-depth analysis and ranking of the key players.

List of Figures:Figure 1 AI in Agriculture Market SegmentationFigure 2 Geographic ScopeFigure 3 AI in Agriculture Market: Research DesignFigure 4 Market Size Estimation Methodology: Bottom-Up ApproachFigure 5 Market Size Estimation Methodology: Top-Down ApproachFigure 6 Market Breakdown and Data TriangulationFigure 7 Assumptions for Research StudyFigure 8 Global AI in Agriculture Market, 2014-2025 (USD Million)Figure 9 Software Segment Expected to Hold the Largest Size of the AI in Agriculture Market During the Forecast PeriodFigure 10 AI in Agriculture Market for Drone Analytics Application Expected to Grow at the Highest Rate During the Forecast PeriodFigure 11 Computer Vision Technology Expected to Grow at the Highest Rate During the Forecast PeriodFigure 12 AI in Agriculture Market in APAC Expected to Grow at the Highest Rate During the Forecast PeriodFigure 13 AI in Agriculture Market to Grow at A High Rate Between 2017 and 2025Figure 14 Australia to Hold the Largest Share in 2017Figure 15 US Held the Largest Share of the Global AI in Agriculture Market in 2016Figure 16 Software Segment Held the Largest Market Share in 2016Figure 17 Machine Learning Technology Expected to Hold the Largest Market Size During the Forecast PeriodFigure 18 Artificial Intelligence (AI) in Agriculture Market: Drivers, Restraints, Opportunities, and ChallengesFigure 19 Estimated Amount of Data Generated By the Iot-Connected Farm Each Day (2015-2025)Figure 20 Software, Hardware, and Testing Solution Providers Play A Crucial Role in the Value Chain of AI in Agriculture MarketFigure 21 AI in Agriculture Market for Computer Vision Technology Expected to Grow at the Highest CAGR Between 2017 and 2025Figure 22 Americas to Hold the Largest Market Size for Computer Vision Technology During 2017-2025Figure 23 AI in Agriculture Market in Asia Pacific for Predictive Analytics Technology Expected to Grow at the Highest CAGR During the Forecast PeriodFigure 24 Market for Hardware Segment Estimated to Grow at the Highest CAGR Between 2017 and 2025Figure 25 AI in Agriculture Market in Asia Pacific for Hardware Segment Expected to Grow at the Highest CAGR During the Forecast PeriodFigure 26 Market for AI Platform Software Expected to Grow at the Highest CAGR During the Forecast PeriodFigure 27 Americas Held the Largest Size of the AI in Agriculture Market for Services in 2016Figure 28 AI in Agriculture Market, By Application, 2017 vs 2025 (USD Million)Figure 29 Americas Expected to Hold the Largest Size of the AI in Agriculture Market for Precision Farming By 2025Figure 30 AI in Agriculture Market in Mexico for Precision Farming Application Expected to Grow at the Highest CAGR During the Forecast PeriodFigure 31 AI in Agriculture Market in Germany for Precision Farming Application Expected to Grow at the Highest CAGR During the Forecast PeriodFigure 32 Americas Expected to Dominate the AI in Agriculture Market for Livestock Monitoring Applications During 2017-2023Figure 33 Brazil to Account for the Largest Size of the AI in Agriculture Market for Livestock Monitoring Application By 2025Figure 34 Asia Pacific Expected to Exhibit the Highest Growth in the AI in Agriculture Market for Drone Analytics Application During the Forecast PeriodFigure 35 Brazil Likely to Account for the Largest Size of the AI in Agriculture Market for Drone Analytics Application By 2025Figure 36 Americas to Hold the Largest Size of the AI in Agriculture Market for Agriculture Robots Application By 2025Figure 37 AI in Agriculture Market in Argentina for Agriculture Robots Expected to Grow at the Highest CAGR During the Forecast PeriodFigure 38 Americas to Account for the Largest Size of the AI in Agriculture Market for Other Applications By 2025Figure 39 Geographic Snapshot: Rapidly Growing Markets Such as Australia, China, and India are Emerging as New Hot Spots for the Global AI in Agriculture MarketFigure 40 Americas: AI in Agriculture Market SnapshotFigure 41 Europe: AI in Agriculture Market SnapshotFigure 42 APAC: AI in Agriculture Market SnapshotFigure 43 Partnerships, Agreements, & Acquisitions Emerged as Key Growth Strategies Adopted By Companies Between 2014 and 2017Figure 44 Geographic Revenue Mix of Major Market PlayersFigure 45 IBM : Company SnapshotFigure 46 Deere & Company: Company SnapshotFigure 47 Microsoft: Company Snapshot